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Embracing the AI Revolution in 2025: Agents, Wages, and What's Next
The future of AI in 2025 throws up fascinating questions. Specifically, we need to ponder the potential role of AI agents, technologies capable of functioning independently or semi-independently to perform tasks. The buzz around AI agents suggests a major role in enterprises as time progresses, to the extent where some predict the rise of dedicated roles for 'Agent Orchestrators', managers assigned to oversee the work of AI agents.
AI in the Job Market
Unsurprisingly, AI agents will have implications for the job market. As the use of AI agents escalates, the demand for humans who manage these agents (referred to as 'AOs') will rise significantly. Furthermore, the AI-agent tech adoption could also lead to organizations hiring agents directly, posting jobs explicitly for non-human 'candidates.' This shift could be a massive change to our conventional understanding of employment and job seeking.
Reasoning Data Collection
The emergence of reasoning models is another trend to watch out for. Reasoning models, unlike large language models, logically 'think through' the actions they are about to perform. This ability allows them to solve complex problems that traditional models may have difficulty handling. Companies might soon shift their focus to collect data that feeds into these reasoning models, essentially 'teaching' them to think according to business-centric logic.
The Pricing Crisis in Professional Services
Interestingly, AI technologies also bring up questions regarding high-end professional services. As AI adoption grows, the pricing structures of these services could face a crisis. Businesses that adopt AI early, particularly in high-cost professional services like law or consulting, could significantly undercut their competition, basic economics that lead to a pricing crisis.
Universal Basic Income (UBI)
Finally, the growth of AI in business brings us to another significant conversation: the Universal Basic Income (UBI). As AI technologies progress, discussions around mechanisms like UBI to offset potential job losses and economic imbalances created by widespread AI increase. While implementation of UBI may not be immediate, the conversation around such mechanisms is likely to grow louder.
Conclusion
The advent of AI paints an exciting yet challenging picture for the future of business. Harnessing the benefits while tackling the issues thrown up by AI will require innovative policies, proactive engagement, and a paradigm shift in business thinking. As industry professionals and decision-makers, we need to closely follow these trends, preparing our businesses for the inevitable AI revolution. By doing so, we position ourselves to thrive in this new landscape while also mitigating its potential risks. Be ready to embrace the future – because the future is AI.
Topics Covered in This Episode
1. AI Agents in 2025
2. AI and Businesses in 2025
3. Discussion on AI Job Market
4. Universal Basic Income and AI
Podcast Transcript
Jordan Wilson [00:00:17]:
Will AI agents be more than a buzzword in 2025? Will AI drive the price of professional services down? And will AGI lead to an inevitable introduction of UBI? We're 20 seconds in, and we already have alphabet soup. Well, I'm gonna be talking about those things in a whole lot more on this first episode of a special edition of everyday AI. This week for 5 straight days, I'm going to be bringing you 5 at a time, but the 25 biggest and boldest AI predictions for 2025. Alright. I hope you are excited to tackle those questions and a lot more with me on Everyday AI. So what's going on y'all? My name is Jordan Wilson. I'm the host of Everyday AI. This thing's for you.
Jordan Wilson [00:01:17]:
It is a daily livestream podcast and free daily newsletter helping everyday people like you and me not just learn AI, but how we can leverage it to grow our companies and our careers. If that sounds like you, you are in for a treat. I have been working on this series technically for, like, 11 months now. So this is gonna be something. If you want to understand where the future of AI lies and how that's going to impact your department, your job, your small business, the enterprise company that you work for, you are definitely gonna wanna tune in today and the rest of the week. You're also going to want to go to your everydayai.com. While you're there, you can sign up for our free daily newsletter. Also, there's 100, that's 100, 100 of hours of free AI education interviews, YouTube videos.
Jordan Wilson [00:02:15]:
Everything is on the website. It's all there for free by category. Alright. Enough. Let's get straight into it. And while we talk about why we're doing this AI prediction show, well, I'm lucky enough I do this every day. You know, everyday AI, it's not just a, you know, a saying. This is what I do every day.
Jordan Wilson [00:02:36]:
I've talked to the smartest people in the world in AI, from the leaders at, you know, companies like Microsoft, Google, IBM, to, fast growing startups. Right? I've had 100 of guests on the show this year, and I've had another 100 or more conversations kind of, quote, unquote, offline. And this series is a it is a not a celebration, but it's almost, just a result of those thousands of hours of conversations that I've had. But I always think to myself late at night, I have so so much information floating around, in my brain from messages I receive from people at these big companies, from, you know, old podcast guests as I go back and listen to them, Some super smart people, and I start to connect the dots. Right? Yeah. Eventually, I do it. Right? Until in my brain is all AI one day. Right? I stumble upon things, and throughout the year, I I write these things down.
Jordan Wilson [00:03:47]:
I I text myself. I, you know, put little, like, sticky notes. And for the past 2 months, I've been compiling all these. So like I said, over the next 5 days, I'm gonna be bringing you 5 AI predictions each day for a total of 25 predictions for 2025. Alright. And I did this last year as well. And the reason I'm doing it again is because I had people reaching out to me even in, like, October who were like, yo. I just listened to your show.
Jordan Wilson [00:04:15]:
And the fact that you said these things, like, in December or January of last year, insane. Right? So, yeah, I went back. I even did a a midterm, report card on my original bold predictions for 2024. And I think I got, like, 21 of them right, and the other 3 were just, like, TBD, right, or couldn't really, give myself a grade on those. So, without further ado, let's get into it. This category that we're gonna be going over today, these 5 predictions. We're calling it the complete AI business revolution, agents, wages, and what's next. Alright.
Jordan Wilson [00:04:51]:
I'm not gonna make you wait any longer for the 5 predictions that we're gonna be going over today. So number 25, agent orchestrators will be a growing position. 24, public companies will post jobs for AI agents. 23, company reasoning data collection. 22, high end professional services will go through a pricing crisis. And 21, UBI becomes, a household conversation. Alright. Hey.
Jordan Wilson [00:05:25]:
Live stream audience. Technically, this is a prerecorded one. If you still want your daily AI news, that's gonna be in the newsletter. But tell me right now, out of these numbers on the screen, which one is gonna be the most likely to happen in 2025, And which one is going to be the least likely? I'm always curious. You can just put most you know, if you think agent orchestrators is gonna be the most likely, just put most 25, least 23. Right? I wanna hear from you guys. I want you guys to to fact check me and see how crazy some of these are or how realistic they are. Alright.
Jordan Wilson [00:05:58]:
Let's let's start with agent operators. Alright. Here's the thing y'all. Yeah. We already know. 2025, the year of the AI agents. Yeah. We know.
Jordan Wilson [00:06:10]:
I'm not I'm not gonna do y'all like that. That's not gonna be the first prediction I give you. Everyone knows. My mom knows. 2025, the year of the agents. Whatever. Right? We all know that. It's already here.
Jordan Wilson [00:06:22]:
Right? It's already here, and we've already seen it with Microsoft Copilot Studios autonomous agents. We've seen it, with, Salesforce, their agent force, autonomous agents. We're seeing it with OpenAI's, and we'll be seeing it with OpenAI's, operator, their agents. We're seeing it, and we'll see it as it continues to roll out with Google's Project Mariner. So this has already started to happen. So I'm not gonna make a a kind of a weak AI prediction to start off with and be like, AI agents are gonna take over. No. Agent orchestrators.
Jordan Wilson [00:06:59]:
I'm just gonna call them AOs. Right? This is gonna be a thing. Alright? Recent studies show that 75% of companies plan to adopt AI agent technologies in the next 5 years. So it's kind of flipping this dynamic of how we've been working with generative AI in large language models on its head over the last 2 or 3 years. Right? How this usually works is you get a team of people, you know, and this is how larger, enterprise organizations generally start to roll out, you know, AI or large language models. It starts with a few rogue individuals who are maybe using it and they're not supposed to be using it. Right? And then it goes to a broader team. From there, it usually goes to a small team.
Jordan Wilson [00:07:49]:
And then you have a small team usually working with 1 AI system. Right? And they're collaborating and saying, oh, how did you do this? Hey. We're getting hallucinations here. You know, should we, you know, should we look at an external rag system? Should we be using, you know, built in, you know, projects from ChatGPT or Claude, whatever. Right? But it's usually a group of people working around one AI system or large language model. We're gonna see that flipped. Not only are we gonna see that flipped, but we are going to see public companies actually hiring or, having positions open for agent orchestrators. There might be a different name.
Jordan Wilson [00:08:33]:
I'm gonna call them AOs. Hopefully, that sticks. Right? Last year, a lot of people started using a term that I threw out there. It was called, like, second computer AI or something like that. Right? But I think we're gonna see agent operators, or or sorry, agent orchestrators, where one human, their only job is going to be orchestrating. Probably, it's gonna start with a dozen or so, but eventually, 1,000. Right? I think of it like air traffic controllers. Right? Think of that.
Jordan Wilson [00:09:07]:
You have, a group of, I don't know, in the movies. Right? You see it's it's like, oh, 5:5 to 10 people in this room, but they are orchestrating, hundreds of flights at the same time. Right? Like, I'm in Chicago. We have O'Hare Airport, Midway Airport, and I assume there's literally people up there in the towers. Right? Like like there are in the movies. And they're they're watching the skies and making sure all of these airplanes, which are largely autonomous, are doing their jobs. Right? Humans overseeing autonomous technology to make sure everything is going right. They're orchestrating air traffic.
Jordan Wilson [00:09:46]:
That's what I think we're gonna see, an actual, position, and it's gonna be a growing and trending one. Right? Like, 3 years ago, it was, you know, prompt engineers. Right? That kinda died off. But I think we're gonna actually see this. So, in early pilots, they said that there was about roughly 7 hours saved per week, per knowledge worker who was using multiple agents. This is you know, it's all unofficial. It's all early. All this, you know, multi agentic, kind of workflow in scenarios is brand new.
Jordan Wilson [00:10:23]:
Alright. We're moving on to the next one. I'm gonna try to do this all 5 in less than 25 minutes. So let's see if I can actually do this. Y'all know I'm long winded, but that's why I'm breaking these 25 predictions up into 5 different shows, coming back for you all week. Alright. So next, 24. Public companies will post jobs for AI agents.
Jordan Wilson [00:10:42]:
Yes. These 2 are sort of related. So, data's already showing. Right? 65% of organizations surveyed in the US are already using generative AI, which is kind of baffling to me because it's like, are the other 35% lying to themselves, or are they just going to be going out of business soon? Right? Imagine if there was a survey right now that said 65% of of companies are using the Internet. Right? So if if you are in that, minority of companies that aren't using generative AI, that's weird. Anyways, I think we're in the same way we kind of transitioned, out of lockdown COVID into hybrid workforce. Right. I think employers saw, like, hey.
Jordan Wilson [00:11:32]:
To retain, you know, our top employees after going work from home for an extended period of time, we need to have a hybrid workforce, and we're gonna have that with agents. Right? Literally, I I see in 2025, and maybe they do it just to, you know, make a splash. Right? Like, how public companies there is all these studies, like, the more time you threw in a AI buzzwords into your earnings call. Hey. This is Jordan, the host of Everyday AI. I've spent more than a 1000 hours inside ChatGPT, and I'm sharing all of my secrets in our free prime prompt polish ChatGPT course that's only available to loyal listeners like you. Check out what Mike, a freelance marketer, said about the PPP course.
AI [00:12:22]:
I just got out of Jordan's webinar. It was incredible. Huge value. It's live, so you get your questions answered. Pretty stoked on it. It's an incredible resource. Pretty much everything's free. I would gladly pay for a lot of the stuff that Jordan's putting out.
AI [00:12:36]:
So if you're wondering whether you should join the webinar, just make the time to do it. It's totally worth it.
Jordan Wilson [00:12:42]:
Everyone's prompting wrong, and the PPP course fixes that. If you want access, go to podpp.com. Again, that's podpp.com. Sign up for the free course and start putting ChatGPT to work for you. Like, there's actually a study. It said, like, your your your stock price went up higher. Right? Because, you know, investors love to hear, you know, rag, large language model, a agentic. Right? But now it's it's it's going to be I do see at least one public company, a lot of enterprise companies, but I do see one public company posting jobs for agents.
Jordan Wilson [00:13:21]:
It is gonna be this is not a job for humans. Humans need not apply. This is for agents. Right? Sounds might sound weird, but I'm not gonna come to you with weak AI predictions. Right? Also, analysts expect a 20 to 25% cost reduction, using, more agentic roles. Alright. What do you guys think? Right? It's using agents, it's inevitable. Right? Especially if you are a knowledge worker.
Jordan Wilson [00:13:56]:
If you listen to the show, you probably know what that means. But a knowledge worker is anyone that sits in front of their computer, right, bangs away on their keyboard, clicks on their mouse, and they get paid to use their brain, stare at information on the computer, process something, and perform an action. Right? Those when we talk about autonomous agents, what that means, it's I I mean, it lives in different formats. Right? Sometimes it's preprogrammed, and we have more narrow applications. And sometimes we have agents that are more programmable in general and can do a lot of different tasks across a variety of applications. But I do think that we are going to see, these multi agent systems not only being common, and like the first prediction, companies hiring for people that will just orchestrate agents, but I do see companies hiring just agents. Right? And, you know, right now, your team, you know, you might have 5 of you in Chicago, 2 on the East Coast, 3 on the West Coast, whatever. Right? Probably you're gonna have literally dedicated agents that your company is is paying.
Jordan Wilson [00:15:10]:
Right? Either by the hour, one time fees, by the task completion. I don't really know. I don't think Salesforce's, kind of approach with charging like I think it's like $2 per conversation for agent force. I don't think, charging like per an action is going to work out necessarily well. I think charging per results, but I think that's going to be a huge potential economy in 2025, 2026 and beyond. Right? Think of something like, you know, Upwork or think of something like, Fiverr, right, where you can go on and there's all these different people offering services. Right? I already know there's people on those that are doing that all autonomously anyways. Right? But I think there's gonna be a a thriving marketplace for this.
Jordan Wilson [00:16:01]:
Right? So whether one of the big companies want to do that or not, we'll see. Right? There's already things like the GPT store. So I do see in the future, you know, OpenAI, Microsoft, Google, you know, Meta, etcetera, having stores, right, where people essentially, you know, if you build, like, an agentic workflow in Zapier as an example, something like that. You know, I don't know how credentialing will work, right, if you have to give it access to to all of your data. So maybe it's something that can only live in something like a Microsoft 365 Copilot or something that can live in a, in a ChatGPT enterprise setup. And, you know, maybe there's going to be a central file management system where anything that you upload into ChatGPT, you know, any agents in this, kind of agent, ecosystem can access all of that information. So we'll see how it actually plays out, but that's a big one. I see public companies doing that.
Jordan Wilson [00:17:02]:
Speaking of companies making moves, this is 1. I see company reasoning data collection. Here's what that means. I think some of the companies that benefited most from the generative AI boom, right, even though a lot of people think it started with, you know, ChatGPT in November 2022, it started a little bit sooner. I think once, OpenAI largely made its technology available to many companies in early, I think it was actually late 2020. So about 2 years, 2 years before ChatGPT, I think a lot of companies were smart, and they started very early on turning all of their unstructured data, into structured data or at least collecting all of their unstructured data. Right? So, you know, emails, meetings, speeches, keynotes, right? Like all these different things. So then as large language models got more capable and as we see reasoning models as well, they were ready.
Jordan Wilson [00:18:08]:
They had all their data ready, and they started converting, right, unstructured data into structured data. Right? Turning natural conversations, emails. Right? Like using large language models to also turn that into structured data. Right? Large language models do really, really well with structured data. If you know what you're doing, if you know the basics of prompt engineering, you can really squeeze a lot of business value out of unstructured data as well as structured. But I see for, prediction, technically the third one, number 23 in our list as we're counting them down. Reasoning data collection. Okay.
Jordan Wilson [00:18:43]:
So what that means, we've already seen, a pretty early on explosion of reasoners. Right? So OpenAI was the first with o one, preview, o one mini. Now we have o one, the full model, and o one pro. Love an o one pro, by the way. I use it all the time. But we also have now Gemini 2 Flash thinking, with, Amazon Nova. They have a reasoning file. So, or or sorry, a a reasoning, model.
Jordan Wilson [00:19:12]:
So, essentially, if if if you're lost and you're like, what the heck is going on? Think of large language models. I'm going to oversimplify this. So, you know, if if you're a machine learning researcher or if you have your PhD in AI, just allow me to, you know, a little leeway here. Think of large language models, classify them in in 2 different categories. So you have your quote, unquote traditional large language models, your transformers. So think of, you know, GPT 4 o. Think of Claude 35 SONNET. Think of Gemini 2 or whatever it is, 120226 experimental.
Jordan Wilson [00:19:46]:
Right? Whatever they call it nowadays. Right. So you have your kind of GPT or your transformer, variety, and then you have your reasoners. Right? Reasoners is gonna be another big buzzword of 2025, so get used to it. A multi agentic reasoners. Right? Maybe we'll stop talking about rag as much in in 2025. Right? But you have these reasoning models that essentially do the work. If you had the world's best prompt engineers, right, they're gonna spend a lot of time going back and forth and quote unquote prompt engineering a transformer model to get the most out of it.
Jordan Wilson [00:20:20]:
So reasoning models, they kind of do this by themselves. They kind of think logically behind the scenes. You you know, people think it's, oh, level 1, level 2 thinking or level 1, level 2 models. Right? Your standard large language model will spit out thousands of words of text in, like, 3 seconds. Reasoning models can sometimes take 3 minutes before they respond, or, you know, I've had it think for 10 minutes. Right? So it's it's different. It can solve complex problems. But I think companies are going to start, collecting their decision making process.
Jordan Wilson [00:20:55]:
So right now, there's no way to tune, these reasoning models saying, hey, you know, o one or maybe when we see if we see o 3. Here's how you should think. Here's how our company thinks. So the same way that companies can fine tune and put in rag in traditional, quote, unquote, level 1 GPT transformer models, I see an emerging market for doing the same with reasoners. Right? Not just fine tuning them, but teaching them how to think. But before that can become a reality and thinking of, like, rapping, like, rapper companies, you know, and I always I always take poo poos on, companies that are still out there that are just GPT rappers and really nothing else. Right? It's like, oh, here's essentially Chad GPT, but in a different interface and you pay, you know, $50 a month. That's dumb.
Jordan Wilson [00:21:46]:
But I see actually a big market for, reasoning wrappers as well, but also the data collection side is going to be huge. Alright. 2 more on today's episode of our first five. Here we go. 22. Livestream audience. Let me know. Most likely, least likely.
Jordan Wilson [00:22:06]:
What do you think of these so far? Are these hot enough? Tomorrow's Tuesday, so maybe I'll I'll I'll crank up the heat. Alright. But high end professional services will go through a pricing crisis. Y'all aren't gonna believe me on this. Buckle up here for a second. Let me, let me take a sip. Alright? Alright. I didn't put anything on my predictions about big job loss.
Jordan Wilson [00:22:35]:
Did that last year. We saw it. I don't wanna focus on the doom and gloom. Alright. Here's what I will say. There's like there was in 2024, I think we're gonna see more job loss due to AI than we did in, sorry. We will see more in 2025 than we did in 2024. Here's what happens.
Jordan Wilson [00:22:56]:
It's gonna start to hit the professional services. Right? Because I think, you know, when we talk about, lawyers, accountants. Right? So many of these higher tier professional services, those that adopted early to generative AI. Right? I'm saying, like, 2020, 2021. They're already starting to squash the medium sized. Right? I think smaller let's just say lawyers. It's easy. Right? But think of any, you know, management consulting, IT consulting.
Jordan Wilson [00:23:35]:
Right? Anything that is usually a high price service that requires, you know, expert, expertise and high price knowledge. Right? Those that adapted to AI early, they're doing very well. I think smaller companies can do very well. They have less overhead and they can innovate a little more quickly. I think a lot of the middle players have already started to get squashed. We saw a lot of acquisitions in various sectors. We saw some just fade into oblivion. Right? So here's what I think is gonna happen.
Jordan Wilson [00:24:07]:
A lot of people are gonna lose their jobs. You know, big companies that would generally hire a lot, they're just gonna stop hiring. Right? Kind of the the Klarna approach. You know, companies, big law firms that might normally hire, you know, a 100 employees every single year for the last decades. Maybe they're gonna start hiring 10 instead. So what's gonna happen? These people that are losing their jobs or that are unable to find work, Software developers, it is so hard. Some of the smartest people that were in the most demand, you know, 7, 8, 9, 10 years ago, it is hard for them to get a job. Anyways, lawyers, they're gonna get laid off in mass.
Jordan Wilson [00:24:43]:
Sorry. Anyone in high priced professional services, any sector, really. When layoffs happen, here's what they're gonna do. They're gonna build companies that are AI native companies, that do the thing that they used to do. Right? So I think we're gonna see things where you can, as an example, pay, like, you know, 12, 15, $20 a month for an AI lawyer. Right? So you'll be able to escalate something or I'm sure there's gonna be some, you know, some piece, some still human element. Right? Maybe you onboard, with a lawyer. I don't know.
Jordan Wilson [00:25:23]:
Maybe it's not gonna be $12 a month. Maybe it'll be $100 a month, but, you know, it's gonna be extremely affordable. You'll be able to talk to a human on the front and the back end, but everything else in between will be agentic. Right? And it I I I think we're, like, we're gonna have more options for these high priced services. Right? So, yeah, management consulting, IT professionals, you know, lawyers. Right? These things that might cost, you know, 50, a 100, $500 an hour. I think we're gonna have very affordable options. And here's here's the other thing.
Jordan Wilson [00:26:03]:
I I think your your your top tier, they're gonna keep going. They're gonna keep crushing all that. Right? But they're gonna face these kind of cheap AI spin offs. And here's here's the other reality, y'all. There's no way the US economy survives more than, like, 3 years without this happening. Right? Because everyone's like, what happens, right, when, you know, AI is taking more and more jobs and people have less and less money? Well, those people that have less and less money, they're going to create companies that can serve other people that have less money. Right? And they'll be able to grow and eventually charge more prices, yadayadayada. But I I do think we have we will have this cyclical effect of people who lose their jobs potentially to AI or aren't higher, aren't promoted, etcetera.
Jordan Wilson [00:26:51]:
And then they're going to use AI to, leverage their expertise and undercut at 5 to 10% of what it would normally cost. Because right now, big companies that are using AI, they're pocketing the difference. Dirty little secret. Alright. Our last one for today, UBI becomes a household conversation. Alright. So, a new Pew study showed that 45% of US adults favor a proposal of universal basic income or UBI of about $1,000 per month for all adult citizens. Also, we've seen a lot of big tech CEOs who know what's going on discuss UBI like buffers.
Jordan Wilson [00:27:38]:
Right? Because everyone's worried. What happens in the future? Right? What happens when we achieve artificial general intelligence? Right? Where all AI systems are smarter than all humans? Or what happens if we start tiptoeing the line between AGI and ASI? Artificial superintelligence. That's when AI is developing its own AI, and we have embodied AI. Right? We have robots that can walk, talk, see, feel. Right? Sit down at the keyboard if they need to, but they don't need to because, you know, it's it's all embodied. Right? What happens then? I mean, UBI is gonna become a conversation. I obviously don't see it happening in 2025. Right? I'm a realist, y'all.
Jordan Wilson [00:28:17]:
I know a lot of people in the, you know, in the AI scene. You know? They're just failed at the NFT thing. I'm a former reporter. Right? I I read, more on AI than I'd like to admit. I talk about it every day, and sometimes I research 3, 4, 5, 6 hours for a single episode. So this is literally all I do. But I don't think UBI is going to happen in 2025, but I think it's going to become a household conversation. Right? In the same way, not everyone was using ChatGPT in 2022.
Jordan Wilson [00:28:49]:
But by 2024, it's a household name. Everyone's talking about it. Right? ChatGPT has become synonymous with AI. I think UBI is going to have to become a household conversation. Right? Very few people right now know what UBI is. It's been around for a very long time. This isn't anything new. This isn't something that, is a byproduct of AI's, emergence, or generative AI's emergence, but the conversation is needed.
Jordan Wilson [00:29:21]:
In 2025, with all that's gonna happen, is going to thrust it to every boardroom, classroom, and dining room table near you. Alright, y'all. That is it. Look at that. I did an episode in less than 30 minutes. My gosh. Alright. I hope this was helpful.
Jordan Wilson [00:29:40]:
If so, please go to your everydayai.com. Sign up for the free daily newsletter. We're gonna be giving you a quick recap as well as a ton of other stats, facts, and figures that we couldn't fit into today's episode. I wanted to keep these, you know, in the theme of 25, 2025. I wanted to give you guys, 25 AI predictions this week. Try to keep the episodes at, like, 25 minutes or less than 30 minutes. So, tomorrow, you're not gonna wanna miss it. Alright.
Jordan Wilson [00:30:07]:
I'll just say that I'm excited. We're gonna be talking about, AI when AI market forces collide, global powers, prices, and problems. Alright. Hope you enjoyed volume 1. Join us tomorrow for volume 2. Can't wait to see you tomorrow and every day for more everyday AI. Thanks, y'all.